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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Recasting Lewin's Field Theory: A Dynamic, Recursive Model of Behavior with Prediction, Attention, and Metacognition

Authors: Rifat, Saud;

Recasting Lewin's Field Theory: A Dynamic, Recursive Model of Behavior with Prediction, Attention, and Metacognition

Abstract

Abstract:We extend Lewin’s field theory to a dynamic, recursive model that integratespredictive processing, a global workspace broadcasting mechanism, andhigher-order metacognition. The framework formalizes behavior as a functionof personality and environment over time, with explicit update rules forpriors, attentional broadcast, and metacognitive gating. We provide compactequations, propose psychometric priors, and outline human and syntheticvalidation protocols with governance hooks for safety and auditability.Keywords: Lewin, Field Theory, Predictive Processing, Global Workspace,Higher-Order Thought, Drift–Diffusion, Parameter Recovery

Non-peer-reviewed preprint.

Keywords

Global workspace (GWT), Higher-order thought (HOT), Predictive processing (PP), Drift–diffusion model (DDM), Lewin's Field Theory, Cognitive architecture, Metacognition, AI governance / runtime assurance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average